Instructions to use TinyPixel/Autotrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/Autotrain with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "TinyPixel/Autotrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a88857ea6520c1fa57a270ad596583c731f457a416daee7383d74a051491557a
- Size of remote file:
- 320 MB
- SHA256:
- fb44253fa7192bcdc50a06304e61657a3e62589481f8ce4fb5b59323c7239704
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